Study of global dynamics of COVID-19 via a new mathematical model

The theme of this paper focuses on the mathematical modeling and transmission mechanism of the new Coronavirus shortly noted as (COVID-19), endangering the lives of people and causing a great menace to the world recently. We used a new type epidemic model composed on four compartments that is suscep...

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Detalles Bibliográficos
Autores principales: Din, Rahim ud, Seadawy, Aly R., Shah, Kamal, Ullah, Aman, Baleanu, Dumitru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier B.V. 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7557201/
https://www.ncbi.nlm.nih.gov/pubmed/33078091
http://dx.doi.org/10.1016/j.rinp.2020.103468
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author Din, Rahim ud
Seadawy, Aly R.
Shah, Kamal
Ullah, Aman
Baleanu, Dumitru
author_facet Din, Rahim ud
Seadawy, Aly R.
Shah, Kamal
Ullah, Aman
Baleanu, Dumitru
author_sort Din, Rahim ud
collection PubMed
description The theme of this paper focuses on the mathematical modeling and transmission mechanism of the new Coronavirus shortly noted as (COVID-19), endangering the lives of people and causing a great menace to the world recently. We used a new type epidemic model composed on four compartments that is susceptible, exposed, infected and recovered (SEIR), which describes the dynamics of COVID-19 under convex incidence rate. We simulate the results by using nonstandard finite difference method (NSFDS) which is a powerful numerical tool. We describe the new model on some random data and then by the available data of a particular regions of Subcontinents.
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spelling pubmed-75572012020-10-15 Study of global dynamics of COVID-19 via a new mathematical model Din, Rahim ud Seadawy, Aly R. Shah, Kamal Ullah, Aman Baleanu, Dumitru Results Phys Article The theme of this paper focuses on the mathematical modeling and transmission mechanism of the new Coronavirus shortly noted as (COVID-19), endangering the lives of people and causing a great menace to the world recently. We used a new type epidemic model composed on four compartments that is susceptible, exposed, infected and recovered (SEIR), which describes the dynamics of COVID-19 under convex incidence rate. We simulate the results by using nonstandard finite difference method (NSFDS) which is a powerful numerical tool. We describe the new model on some random data and then by the available data of a particular regions of Subcontinents. The Author(s). Published by Elsevier B.V. 2020-12 2020-10-15 /pmc/articles/PMC7557201/ /pubmed/33078091 http://dx.doi.org/10.1016/j.rinp.2020.103468 Text en © 2020 The Author(s) Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Din, Rahim ud
Seadawy, Aly R.
Shah, Kamal
Ullah, Aman
Baleanu, Dumitru
Study of global dynamics of COVID-19 via a new mathematical model
title Study of global dynamics of COVID-19 via a new mathematical model
title_full Study of global dynamics of COVID-19 via a new mathematical model
title_fullStr Study of global dynamics of COVID-19 via a new mathematical model
title_full_unstemmed Study of global dynamics of COVID-19 via a new mathematical model
title_short Study of global dynamics of COVID-19 via a new mathematical model
title_sort study of global dynamics of covid-19 via a new mathematical model
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7557201/
https://www.ncbi.nlm.nih.gov/pubmed/33078091
http://dx.doi.org/10.1016/j.rinp.2020.103468
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